IOCAS-IR
Risk Prediction of Coastal Hazards Induced by Typhoon: A Case Study in the Coastal Region of Shenzhen, China
Guo, Yunxia1,2,3; Hou, Yijun1,2,3,4; Liu, Ze1,3,4; Du, Mei1,2,3
2020-06-01
Source PublicationREMOTE SENSING
Volume12Issue:11Pages:21
Corresponding AuthorHou, Yijun(yjhou@qdio.ac.cn)
AbstractThis study presents a risk prediction of coastal hazards induced by typhoons, which are a severe natural hazard that often occur in coastal regions. Taking the coastal hazards happened in Shenzhen as a case study, where is a southeast coastal city of China, we described a methodology to predict the typhoon wind-surge-wave hazard. A typhoon empirical tracking model was adopted to construct full-track typhoon events for 1000 years, based on the statistical characteristics of observed typhoons from satellite imageries. For each individual typhoon, a wind-field model is applied to compute the wind speeds, while the Simulating Waves Nearshore and Advanced Circulation (SWAN+ADCIRC) coupled model is applied to simulate the significant wave heights (SWHs) and storm surge heights. By frequency distribution histogram, it is noted that there exhibits a heavy tail in the probability distribution of maximum surge heights and a thin tail of the peak wind speeds and SWHs in the coastal area of Shenzhen, China. Using the Generalized Pareto Distribution (GPD) model, the extreme values of typhoon wind-surge-wave associated with various return periods can be predicted. Taking account into the combined effects of the wind, surge and wave, the joint hazard maps of typhoon wind-surge-wave can be produced for the study area. The methodology of this case study can provide a new reference for risk prediction of coastal hazards induced by typhoon in similar coastal regions like Shenzhen, China.
Keywordcoastal hazards risk prediction storm surge wind speed significant wave heights
DOI10.3390/rs12111731
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2018YFC1407003] ; National Key Research and Development Program of China[2016YFC1402000] ; National Natural Science Foundation of China[U1606402] ; National Natural Science Foundation of China[41421005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060502]
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000543397000036
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/167904
Collection中国科学院海洋研究所
Corresponding AuthorHou, Yijun
Affiliation1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
2.Univ Chinese Acad Sci, Sch Earth & Planetary Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Guo, Yunxia,Hou, Yijun,Liu, Ze,et al. Risk Prediction of Coastal Hazards Induced by Typhoon: A Case Study in the Coastal Region of Shenzhen, China[J]. REMOTE SENSING,2020,12(11):21.
APA Guo, Yunxia,Hou, Yijun,Liu, Ze,&Du, Mei.(2020).Risk Prediction of Coastal Hazards Induced by Typhoon: A Case Study in the Coastal Region of Shenzhen, China.REMOTE SENSING,12(11),21.
MLA Guo, Yunxia,et al."Risk Prediction of Coastal Hazards Induced by Typhoon: A Case Study in the Coastal Region of Shenzhen, China".REMOTE SENSING 12.11(2020):21.
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